When are workload and workplace learning opportunities related in a curvilinear manner? The moderating role of autonomy

Building on theoretical frameworks like the Job Demands Control model and Action Theory we tested whether the relationship between workload and employees' experiences of opportunities for workplace learning is of an inverted u-shaped nature and whether autonomy moderates this relationship. We predicted that – at moderate levels of autonomy – workload was positively associated with learning opportunities at low levels of workload, but negatively at high levels of workload. Also, we predicted that low autonomy prevents positive effects of moderate workload from materializing whereas high autonomy makes high workload less destructive to the learning process. Furthermore, we examined whether learning opportunities increase particularly as a function of higher matched levels of workload and autonomy and whether mismatch between workload and autonomy is particularly detrimental to the learning process. We found support for these ideas in two large and heterogeneous samples of working adults using moderated and polynomial regression analyses and subsequent response surface methodology. These results integrate conflicting prior findings and extend Karasek's (1979) active learning hypothesis. They also have clear implications for job redesign practices aiming to promote workplace learning opportunities.     

One after the other: Effects of sequence patterns of breached and overfulfilled obligations

To date, the study of psychological contracts has primarily centred on the question how retrospective evaluations of the psychological contract impact employee attitudes and behaviours, and/or focus on individual coping processes in explaining responses to breached or overfulfilled obligations. In this study, we aim to assess the extent to which sequences of breached and overfulfilled obligations impact job satisfaction and citizenship behaviour intentions. By integrating psychological contract research and theories on cognitive information processing, we formulate competing hypotheses on how sequences of breached and/or overfulfilled obligations lead to patterns of job satisfaction and citizenship behaviour intentions. These competing hypotheses were tested using a vignette study and an experiment. A Bayesian approach was used to test these pattern hypotheses directly against each other. The results show that breached obligations have an immediate negative impact on our outcome variables. Moreover, sequentially breached obligations lead to a continuous decline of job satisfaction and citizenship behaviour intentions. Overfulfilled obligations do little to compensate this negative impact. Implications for theory and practice are discussed.     

Truth-Tracking by Belief Revision

Studia Logica - We study the learning power of iterated belief revision methods. Successful learning is understood as convergence to correct, i.e., true, beliefs. We focus on the issue of...     

Illness Identity in Adults with a Chronic Illness

The present study examines the concept of illness identity, the degree to which a chronic illness is integrated into one’s identity, in adults with a chronic illness by validating a new self-report questionnaire, the Illness Identity Questionnaire (IIQ). Self-report questionnaires on illness identity, psychological, and physical functioning were assessed in two samples: adults with congenital heart disease (22–78 year old; n?=?276) and with multisystem connective tissue disorders (systemic lupus erythematosus or systemic sclerosis; 17–81 year old; n?=?241). The IIQ could differentiate four illness identity states (i.e., engulfment, rejection, acceptance, and enrichment) in both samples, based on exploratory and confirmatory factor analysis. All four subscales proved to be reliable. Rejection and engulfment were related to maladaptive psychological and physical functioning, whereas acceptance and enrichment were related to adaptive psychological and physical functioning. The present findings underscore the importance of the concept of illness identity. The IIQ, a self-report questionnaire, is introduced to measure four different illness identity states in adults with a chronic illness.     

A Material and Practical Account of Education in Digital Times: Neil Postman’s Views on Literacy and the Screen Revisited

In this article I deal with the impact of digitization on education by revisiting the ideas Neil Postman developed in regard with the omnipresence of screens in the American society of the 1980s and their impact on what it means to grow up and to become an educated person. Arguing, on the one hand, that traditionally education is profoundly related to the initiation into literacy, and on the other hand, that the screen may come to replace the book as the prevailing educational medium, Postman’s theses are worth reconsidering. Moreover I propose to develop further one strain of thought in Postman’s work, viz. the interconnectedness of technological inventions, material practices and ideas regarding what education is all about. As such I analyse in great detail the differences between traditional and digital literacy by looking from a material and practical perspective at how we relate to books and screens. This is not a normative analysis, but one that aims at fleshing out differences in spaces of experience. As such I wind up with suggestions regarding the affordances that a new form of literacy, no longer based on the model of the book, might bring about.     

Bayesian model selection of informative hypotheses for repeated measurements

When analyzing repeated measurements data, researchers often have expectations about the relations between the measurement means. The expectations can often be formalized using equality and inequality constraints between (i) the measurement means over time, (ii) the measurement means between groups, (iii) the means adjusted for time-invariant covariates, and (iv) the means adjusted for time-varying covariates. The result is a set of informative hypotheses. In this paper, the Bayes factor is used to determine which hypothesis receives most support from the data. A pivotal element in the Bayesian framework is the specification of the prior. To avoid subjective prior specification, training data in combination with restrictions on the measurement means are used to obtain so-called constrained posterior priors. A simulation study and an empirical example from developmental psychology show that this prior results in Bayes factors with desirable properties.     

Keep ‘hoping’ for rationality: a solution to the backward induction paradox

We formalise a notion of dynamic rationality in terms of a logic of conditional beliefs on (doxastic) plausibility models. Similarly to other epistemic statements (e.g. negations of Moore sentences and of Muddy Children announcements), dynamic rationality changes its meaning after every act of learning, and it may become true after players learn it is false. Applying this to extensive games, we “simulate” the play of a game as a succession of dynamic updates of the original plausibility model: the epistemic situation when a given node is reached can be thought of as the result of a joint act of learning (via public announcements) that the node is reached. We then use the notion of “stable belief”, i.e. belief that is preserved during the play of the game, in order to give an epistemic condition for backward induction: rationality and common knowledge of stable belief in rationality. This condition is weaker than Aumann’s and compatible with the implicit assumptions (the “epistemic openness of the future”) underlying Stalnaker’s criticism of Aumann’s proof. The “dynamic” nature of our concept of rationality explains why our condition avoids the apparent circularity of the “backward induction paradox”: it is consistent to (continue to) believe in a player’s rationality after updating with his irrationality.     

Approximated adjusted fractional Bayes factors: A general method for testing informative hypotheses

Informative hypotheses are increasingly being used in psychological sciences because they adequately capture researchers’ theories and expectations. In the Bayesian framework, the evaluation of informative hypotheses often makes use of default Bayes factors such as the fractional Bayes factor. This paper approximates and adjusts the fractional Bayes factor such that it can be used to evaluate informative hypotheses in general statistical models. In the fractional Bayes factor a fraction parameter must be specified which controls the amount of information in the data used for specifying an implicit prior. The remaining fraction is used for testing the informative hypotheses. We discuss different choices of this parameter and present a scheme for setting it. Furthermore, a software package is described which computes the approximated adjusted fractional Bayes factor. Using this software package, psychological researchers can evaluate informative hypotheses by means of Bayes factors in an easy manner. Two empirical examples are used to illustrate the procedure.     

Empowering Mimicry: Female Leader Role Models Empower Women in Leadership Tasks Through Body Posture Mimicry

Sex Roles - In two studies we investigated the behavioral process through which visible female leader role models empower women in leadership tasks. We proposed that women tend to mimic the...     

Your Data are (Not) My Data: The Role of Social Value Orientation in Sharing Data About Others

The personal data consumers share with companies on a daily basis often also involves other people. However, prior research has focused almost exclusively on how consumers make decisions about their own data. In this research, we explore how consumers’ social value orientation impacts their decisions regarding data about others. In contrast to the notion of proselfs as “selfish” decision-makers, across four studies we find that proselfs are less likely than prosocials to share data about others with third parties. We show that this effect arises because proselfs feel less ownership over data they hold about others than prosocials, which in turn reduces their willingness to share it. Overall, this work contributes to literature on social value orientation as well as privacy decision-making and helps marketers and policy makers in designing interdependent privacy choice contexts.